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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 9127
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal proceedings and extradition issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anecd
    -0.74
    paced
    -0.60
     predecessors
    -0.57
     approached
    -0.56
     underestimated
    -0.55
    paces
    -0.55
     aback
    -0.55
    ixties
    -0.54
     grouped
    -0.53
    athered
    -0.53
    POSITIVE LOGITS
     someday
    0.96
     tomorrow
    0.85
    ocaust
    0.84
    livion
    0.78
     ransom
    0.75
     next
    0.74
     eternity
    0.73
     afterlife
    0.72
     blackmail
    0.71
     rapist
    0.71
    Activations Density 1.090%

    No Known Activations